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Comovement amongst the demand for New Zealand tourism

Tourism research is replete with applications of univariate time-series decomposition techniques: multivariate frameworks have been largely ignored. In this paper, we employ a common-feature-based, multivariate trend-cycle decomposition approach to examine common trends and common cycles amongst the...

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Detalles Bibliográficos
Autor principal: Vatsa, Puneet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264943/
https://www.ncbi.nlm.nih.gov/pubmed/32508372
http://dx.doi.org/10.1016/j.annals.2020.102965
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author Vatsa, Puneet
author_facet Vatsa, Puneet
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description Tourism research is replete with applications of univariate time-series decomposition techniques: multivariate frameworks have been largely ignored. In this paper, we employ a common-feature-based, multivariate trend-cycle decomposition approach to examine common trends and common cycles amongst the demand for New Zealand tourism originating in Australia, China, the US, the UK, as well as other tourism-importing countries considered as one group: Others. Upon isolating trends and cycles in tourism demand from these countries, we find evidence of strong long-term comovement: they share one common trend. We also find evidence of short-term comovement, albeit to a lesser extent: four common cycles emerge; the cyclical patterns in tourism demand from Australia, China, the US, and Others are strongly correlated.
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spelling pubmed-72649432020-06-02 Comovement amongst the demand for New Zealand tourism Vatsa, Puneet Ann Tour Res Article Tourism research is replete with applications of univariate time-series decomposition techniques: multivariate frameworks have been largely ignored. In this paper, we employ a common-feature-based, multivariate trend-cycle decomposition approach to examine common trends and common cycles amongst the demand for New Zealand tourism originating in Australia, China, the US, the UK, as well as other tourism-importing countries considered as one group: Others. Upon isolating trends and cycles in tourism demand from these countries, we find evidence of strong long-term comovement: they share one common trend. We also find evidence of short-term comovement, albeit to a lesser extent: four common cycles emerge; the cyclical patterns in tourism demand from Australia, China, the US, and Others are strongly correlated. Elsevier Ltd. 2020-07 2020-06-02 /pmc/articles/PMC7264943/ /pubmed/32508372 http://dx.doi.org/10.1016/j.annals.2020.102965 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Vatsa, Puneet
Comovement amongst the demand for New Zealand tourism
title Comovement amongst the demand for New Zealand tourism
title_full Comovement amongst the demand for New Zealand tourism
title_fullStr Comovement amongst the demand for New Zealand tourism
title_full_unstemmed Comovement amongst the demand for New Zealand tourism
title_short Comovement amongst the demand for New Zealand tourism
title_sort comovement amongst the demand for new zealand tourism
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264943/
https://www.ncbi.nlm.nih.gov/pubmed/32508372
http://dx.doi.org/10.1016/j.annals.2020.102965
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